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AgentWorkforce AI Skills

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Browse published AI skills maintained by AgentWorkforce. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

7

Repository stars across indexed skills

3,342

Repository forks

237

Average repository stars per indexed skill

477

Repository stars may repeat across skills from the same repository.

7 skills

Browse skills

GitHub

github-oauth-nango-integration

AgentWorkforce

Use when implementing GitHub OAuth + GitHub App authentication with Nango - provides two-connection pattern for user login and repo access with webhook handling

GitHub

browser-testing-with-screenshots

AgentWorkforce

Use when testing web applications with visual verification - automates Chrome browser interactions, element selection, and screenshot capture for confirming UI functionality

GitHub

creating-claude-hooks

AgentWorkforce

Use when creating or publishing Claude Code hooks - covers executable format, event types, JSON I/O, exit codes, security requirements, and PRPM package structure

GitHub

using-beads-bv

AgentWorkforce

Use when coordinating dependency-aware task planning with beads (bd) CLI and bv graph sidecar - covers ready work selection, priority management, and robot flags for deterministic outputs

GitHub

debugging-websocket-issues

AgentWorkforce

Use when seeing WebSocket errors like "Invalid frame header", "RSV1 must be clear", or "WS_ERR_UNEXPECTED_RSV_1" - covers multiple WebSocketServer conflicts, compression issues, and raw frame debugging techniqu...

GitHub

implementing-command-palettes

AgentWorkforce

Use when building Cmd+K command palettes in React - covers keyboard navigation with arrow keys, keeping selected items in view with scrollIntoView, filtering with shortcut matching, and preventing infinite re-r...

GitHub

using-agent-relay

AgentWorkforce

Use when coordinating multiple AI agents in real-time - provides inter-agent messaging via Rust PTY wrapper with file-based protocol and reliability features

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.